


from __future__ import annotations

from typing import TypedDict

class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						42
    __magic_name__         =						42






def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     if not isinstance(UpperCamelCase_				,UpperCamelCase_							):
          raise TypeError('''The parameter s type must be str.'''							)

     return [s[i:] + s[:i] for i in range(len(UpperCamelCase_							)							)]
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     if not isinstance(UpperCamelCase_				,UpperCamelCase_							):
          raise TypeError('''The parameter s type must be str.'''							)
     if not s:
          raise ValueError('''The parameter s must not be empty.'''							)

     snake_case											=							all_rotations(UpperCamelCase_							)
     rotations.sort()  # sort the list of rotations in alphabetically order
     # make a string composed of the last char of each rotation
     snake_case											=							{
         "bwt_string": "".join([word[-1] for word in rotations]							),
         "idx_original_string": rotations.index(UpperCamelCase_							),
     }
     return response
def      UpperCAmelCase__		(UpperCamelCase_				,UpperCamelCase_							):



     """simple docstring"""






     if not isinstance(UpperCamelCase_				,UpperCamelCase_							):
          raise TypeError('''The parameter bwt_string type must be str.'''							)
     if not bwt_string:
          raise ValueError('''The parameter bwt_string must not be empty.'''							)
     try:
          snake_case											=							int(UpperCamelCase_							)
     except ValueError:
          raise TypeError(
              '''The parameter idx_original_string type must be int or passive'''
              ''' of cast to int.'''							)
     if idx_original_string < 0:
          raise ValueError('''The parameter idx_original_string must not be lower than 0.'''							)
     if idx_original_string >= len(UpperCamelCase_							):
          raise ValueError(
              '''The parameter idx_original_string must be lower than''' ''' len(bwt_string).'''							)

     snake_case											=							[''''''] * len(UpperCamelCase_							)
     for _ in range(len(UpperCamelCase_							)							):
          for i in range(len(UpperCamelCase_							)							):
               snake_case											=							bwt_string[i] + ordered_rotations[i]
          ordered_rotations.sort()
     return ordered_rotations[idx_original_string]


if __name__ == "__main__":
 _SCREAMING_SNAKE_CASE     :					List[Any]      =       "Provide a string that I will generate its BWT transform: "
 _SCREAMING_SNAKE_CASE     :					str      =       input(entry_msg).strip()
 _SCREAMING_SNAKE_CASE     :					Any      =       bwt_transform(s)
 print(
     f'''Burrows Wheeler transform for string \'{s}\' results '''
     f'''in \'{result['bwt_string']}\''''
 )
 _SCREAMING_SNAKE_CASE     :					Union[str, Any]      =       reverse_bwt(result["bwt_string"], result["idx_original_string"])
 print(
     f'''Reversing Burrows Wheeler transform for entry \'{result['bwt_string']}\' '''
     f'''we get original string \'{original_string}\''''
 )








from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
 from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline




